Perfusion Trend Indicator Using Segmented Waveform Analysis

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Solution Overview

Problem

Current pulse oximetry systems lack a mechanism to effectively alert clinicians to significant changes in perfusion index (PI) over time, which is crucial for monitoring patient conditions and detecting potential deteriorations.

Innovation Solution

A perfusion index trend indicator is introduced, which establishes a baseline PI and calculates trends by inputting plethysmograph waveforms, deriving perfusion values, and determining representative values within defined time windows, allowing for user-selectable alarms when a specified decrease in PI is detected, enabling audible and visual alerts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If pulse oximetry systems provide only numerical readouts and basic waveforms, then the device complexity is low, but the ability to detect and alert clinicians to significant perfusion changes is insufficient

Engineering Contradiction:
Improvedetection capabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the continuous plethysmograph waveform into discrete time windows (e.g., 30-second intervals) and calculates representative perfusion index values for each window. This segmentation allows the system to track perfusion trends over time without requiring complex continuous analysis, thereby improving detection capability while maintaining manageable system complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary calculations by establishing a baseline perfusion index and pre-defining alarm thresholds before clinical use. By preparing these reference values in advance, the system can quickly compare current readings against established benchmarks and trigger alarms when significant deviations occur, enhancing reliability without adding real-time computational complexity

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the system continuously monitors and analyzes perfusion data in real-time, then the detection precision improves, but the loss of time for processing and displaying information increases

Engineering Contradiction:
Improveperfusion trend detectionVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements periodic monitoring by calculating perfusion index values at regular intervals (e.g., every 30 seconds) and comparing them against the baseline at defined time points (ΔT). This periodic approach provides precise trend detection through systematic sampling while avoiding the continuous processing overhead, thus reducing time loss without sacrificing measurement precision

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system applies partial action by selectively triggering alarms only when perfusion changes exceed predetermined thresholds (ΔPI), rather than continuously alerting for every minor fluctuation. This approach maintains high detection precision for clinically significant changes while minimizing unnecessary processing and display updates, thereby reducing overall time loss

Inventive Principle:
Principle #16Partial or excessive action

3Loss of information

If the system provides detailed perfusion analysis and trend tracking, then the information completeness improves, but the ease of operation decreases due to increased alarm management complexity

Engineering Contradiction:
Improveperfusion informationVSAvoidalarm management
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent applies local quality by providing different levels of information display: a simplified view showing only critical alarm conditions for ease of operation, and a detailed view displaying comprehensive perfusion trends and baseline comparisons for complete information. This localized information presentation allows clinicians to access full perfusion data when needed while maintaining simple operation during routine monitoring

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system implements feedback by providing visual confirmation of alarm conditions through trend graphs that display current perfusion values against the baseline. This feedback mechanism helps clinicians quickly understand the nature and significance of alarms without requiring complex interpretation, thereby maintaining ease of operation while delivering complete perfusion information

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution provides timely alerts to clinicians about important changes in perfusion index, enabling prompt intervention in patient care by displaying perfusion trend graphs and triggering alarms when predefined PI thresholds are breached, thus improving patient monitoring and treatment responsiveness.

Implementation Method 1

The sensor has light emitting diodes (LEDs) that transmit optical radiation of red and infrared wavelengths into a tissue site and a detector that responds to the intensity of the optical radiation after attenuation by pulsatile arterial blood flowing within the tissue site

Methodology Applied
Scientific EffectOptical radiation transmission and attenuation: Absorption (EM radiation)

Data Source

PatentUS11234655B2Perfusion trend indicator
Publication Date: 2022.02.01 MASIMO CORP
  • US11234655B2 patent drawing
  • US11234655B2 patent drawing
  • US11234655B2 patent drawing

AI summary

A perfusion trend indicator inputs a plethysmograph waveform having pulses corresponding to pulsatile blood flow within a tissue site. Perfusion values are derived corresponding to the pulses. Time windows are defined corresponding to the perfusion values. Representative perfusion values are defined corresponding to the time windows. A perfusion trend is calculated according to differences between representative perfusion values of adjacent ones of the time windows.